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Predicting fatal fall from heights accidents using random forest classification machine learning model

Overview of attention for article published in Safety Science, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
81 Mendeley
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Title
Predicting fatal fall from heights accidents using random forest classification machine learning model
Published in
Safety Science, March 2023
DOI 10.1016/j.ssci.2022.106023
Authors

Abderrahim Zermane, Mohd Zahirasri Mohd Tohir, Hanane Zermane, Mohd Rafee Baharudin, Hamdan Mohamed Yusoff

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 10%
Unspecified 6 7%
Student > Master 6 7%
Researcher 4 5%
Student > Bachelor 3 4%
Other 10 12%
Unknown 44 54%
Readers by discipline Count As %
Engineering 20 25%
Unspecified 5 6%
Computer Science 5 6%
Chemical Engineering 2 2%
Social Sciences 2 2%
Other 3 4%
Unknown 44 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2022.
All research outputs
#7,857,016
of 25,392,582 outputs
Outputs from Safety Science
#528
of 1,579 outputs
Outputs of similar age
#136,548
of 422,415 outputs
Outputs of similar age from Safety Science
#8
of 28 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,579 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.